Computer analysis of the emotional component of scientific publications using examples in physics and economics

The results of the application of the system of automated extraction and visualization of metadata of emotionality of texts of scientific publications in the field of innovative research in physics and economics are presented. In physics, works on the direct conversion of light radiation into electrical energy are considered based on photoplasma, which is an effect of the appearance of a potential difference in the plasma of alkali metals. In this area, the stage of research work has practically been completed, and a transition to experimental design work is taking place with a subsequent assessment of the economic efficiency of the production and operation of photoconverters based on photoplasma. Such metadata is necessary for the development and implementation into practice of systems for the intellectual analysis of news text data, analytical publications to increase the efficiency of forecasting and assess development prospects in various areas, for example, in financial and economic activities to predict quotations on the securities market. The paper provides examples of sentiment analysis and its visualization of economic scientific texts and text from the field of gas-discharge plasma research. Instrumental methods of emotional analysis of texts are implemented in the R language, which allows in a short time to form the necessary packages of text analysis programs not only by professional programmers, but also by analysts.